International Conference on Pattern Recognition Technologies for Industrial Applications ICPRTIA on November 29-30, 2022 in Jerusalem, Israel
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- Short Name: ICPRTIA
- Event Type: Conference
- Website URL: https://waset.org/pattern-recognition-technologies-for-industrial-applications-conference-in-november-2022-in-jerusalem
- Program URL: https://waset.org/conferences-in-november-2022-in-jerusalem/program
- Contact URL: https://waset.org
- Location: Jerusalem, Israel
- Date: November 29-30, 2022
- Final Submission: October 28, 2022
- Notification: December 15, 2020
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: pattern recognition
Pattern recognition in industry
Biological principles for deployment in computational science
Predictive empirical modeling for industries
Supervised learning—correlative neural nets
Unsupervised learning: auto-clustering and self-organizing data customizing for industrial strength applications
Characterizing and classifying textual materials for industrial applications
Pattern recognition in time series analysis
Genetic algorithms
Harnessing the technology for profitability
Reactor modeling through in situ adaptive learning
Predicting plant stack emissions to meet environmental limits predicting fouling/coking in fired heaters
Predicting operational credits
Pilot plant scale-up by interpreting tracer diagnostics
Predicting distillation tower temperatures: mining data for capturing distinct operational variability
Enabling new process design based on laboratory data
Forecasting price changes of a composite basket of commodities corporate demographic trend analysis
Biological principles for deployment in computational science
Predictive empirical modeling for industries
Supervised learning—correlative neural nets
Unsupervised learning: auto-clustering and self-organizing data customizing for industrial strength applications
Characterizing and classifying textual materials for industrial applications
Pattern recognition in time series analysis
Genetic algorithms
Harnessing the technology for profitability
Reactor modeling through in situ adaptive learning
Predicting plant stack emissions to meet environmental limits predicting fouling/coking in fired heaters
Predicting operational credits
Pilot plant scale-up by interpreting tracer diagnostics
Predicting distillation tower temperatures: mining data for capturing distinct operational variability
Enabling new process design based on laboratory data
Forecasting price changes of a composite basket of commodities corporate demographic trend analysis
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE